Lead Decision Scientist

New

Life360Mobile technology

All positions, unless otherwise specified, can be performed remotely (within the US and Canada)Full-TimeLead

SalaryUSD 133000 - 195000 / year (US); 147,500 to 173,000 CAD (Canada)

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Job Details

6+ years of experience in an analytics, data science, or decision science role at a consumer tech company.
Bachelor's degree in a quantitative field (economics, statistics, quantitative social science, operations research).
Demonstrated experience with causal inference methods (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity score matching).
Proven track record of influencing product or business strategy through data.
Proficiency in SQL and Python or R for statistical analysis.
Experience with experimentation platforms (e.g., Statsig, Optimizely).
Ability to use AI tooling (e.g., Claude Code) as a development partner.
Experience with subscription or freemium business models (preferred).
Familiarity with international or multi-market analytics (preferred).
Experience building dbt models or contributing to analytics engineering workflows (preferred).
Background in growth, retention, or lifecycle analytics (preferred).

Partner strategically with cross-functional teams including PMs, engineers, marketing, and finance to shape roadmaps and investment.
Present clear analytical narratives to leadership to drive actionable product and business strategy decisions.
Establish causality using tools such as A/B testing, analytics, and causal inference methods.
Develop and implement metrics strategies that measure user engagement and business impact.
Utilize AI tooling daily for coding and automated analysis to advance the company's AI-native analytics stack.
Ground data-driven analysis in a deep understanding of user motivations and real-world context.

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